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A Parallel, Volume-Tracking Algorithm for Unstructured MeshesS. J. Mossoa, B. K. Swartzb, D. B. Kothec and R. C. FerrelldaHydrodynamic Methods, Los Alamos National Laboratory, MS F663,Los Alamos, New Mexico 87545 USAbMathematical Modeling and Analysis, Los Alamos National Laboratory,MS B284, Los Alamos, New Mexico 87545 USAC Fluid Dynamics, Los Alamos National Laboratory, MS B216, Los Alamos,New Mexico, 87545 USAdCambridge Power Computing Associates, Cambridge, MassachusettsAbstractRecent enhancements to multidimensional volume-tracking algorithms are pre-sented. Illustrations in two dimensions are given. The improvements include new,local algorithms for interface normal constructions and a new full remapping algo-rithm for time integration. These methods are used on structured and unstruc-tured grids.1. Introduction1.1 MotivationMany diverse areas of industry benefit from the use of volume of fluid methods topredict the movement of materials. Casting is a common method of part fabrica-tion. The accurate prediction of the casting process is pivotal to industry. Molddesign and casting is currently considered an art by industry. It typically involvesmany trial mold designs, and the rejection of defective parts is costly. Failure ofcast parts, because residual stresses reduce the part's strength, can be cata-strophic. Cast parts should have precise geometric details that reduce or elimi-nate the need for machining after casting. Volume of fluid codes will helpdesigners predict how the molten metal fills a mold and where any trapped voidsremain. Prediction of defects due to thermal contraction or expansion will elimi-nate defective, trial mold designs and speed the parts to market with fewer rejec-tions. Increasing the predictability and therefore the accuracy of the castingprocess will reduce the "art" that is involved in mold design and parts casting.